A5048545517- Biomedical Text Mining and Ontologies
- Topic Modeling
- Urban, Neighborhood, and Segregation Studies
- Economic and Environmental Valuation
- Advanced Statistical Methods and Models
- Distributed and Parallel Computing Systems
- Statistical Methods and Inference
- Employment and Welfare Studies
- Natural Language Processing Techniques
- Scientific Computing and Data Management
- Statistical Methods and Bayesian Inference
- Experimental Behavioral Economics Studies
- Income, Poverty, and Inequality
- Fiscal Policy and Economic Growth
- Decision-Making and Behavioral Economics
- Consumer Market Behavior and Pricing
- Labor market dynamics and wage inequality
- Social Capital and Networks
- Gender, Labor, and Family Dynamics
- Monetary Policy and Economic Impact
- demographic modeling and climate adaptation
- Statistical Distribution Estimation and Applications
- Control Systems and Identification
- Spatial and Panel Data Analysis
- Optimal Experimental Design Methods
Ruhr University Bochum
2022
University of Manchester
2004-2021
University of Bristol
1991-1994
Monash University
1990
National Institute of Economic and Social Research
1986
London School of Economics and Political Science
1985-1986
University of London
1985
Pacific Environment
1974
Abstract A univariate structural time series model based on the traditional decomposition into trend, seasonal and irregular components is defined. number of methods computing maximum likelihood estimators are then considered. These include direct maximization various domain function. The asymptotic properties given a comparison between in terms computational efficiency accuracy made. extended to models with explanatory variables.
Journal Article Stochastic Trends in Dynamic Regression Models: An Application to the Employment-Output Equation Get access A. C. Harvey, Harvey London School of Economics and National Institute Economic Social Research Search for other works by this author on: Oxford Academic Google Scholar S. G. B. Henry, Henry Peters, Peters Wren-Lewis The Journal, Volume 96, Issue 384, 1 December 1986, Pages 975–985, https://doi.org/10.2307/2233168 Published: 01 1986
Abstract The hedonic pricing method is used to investigate the way in which prices of prostitutes' services are determined. data analysis extracted from an internet site, each observation being based on a report submitted by client. factors affecting price identified regression framework, and combined with other information provide estimates earnings, both aggregate individual, for sub‐sector this underground service industry United Kingdom. Comparison these earnings' earnings alternative...
The letter notes that a generalized RESET test can be employed as for misspecification in variety of parametric and semi-parametric micro-econometric models. test's performance is illustrated using three models commonly used labour supply studies: the linear, censored (Tobit), duration (Weibull) regression All are estimated by fully (maximum likelihood) semiparametric methods. Comments provided on finite sample test.
Abstract Using a sample of male and female workers from the 1992 Employment in Britain survey, we estimate generalised grouped zero‐inflated Poisson regression model employees' self‐reported lateness. Lateness is higher for males, private sector service industries. Reflecting theoretical predictions both psychology economics, lateness as function incentives, monitoring of, sanctions for, within workplace, job satisfaction attitudes to work. Various aspects workplace incentive disciplinary...
Previous research has shown that people who are in poverty live deprived neighbourhoods. Ethnic minority groups more likely than the White majority to be poor and such areas. The likelihood of being may reduced by having access mixed social networks. But, for those living neighbourhoods there neither opportunities nor resources form maintain networks terms their ethnic or geographic composition. This paper tests this contention, UK. Specifically, we use UK's largest household survey examine...
Abstract Background Deep Learning opens up opportunities for routinely scanning large bodies of biomedical literature and clinical narratives to represent the meaning terms. However, validation integration this knowledge on a scale requires cross checking with ground truths (i.e. evidence-based resources) that are unavailable in an actionable or computable form. In paper we explore how turn information about diagnoses, prognoses, therapies other concepts into using free-text data human...
When values of regressors are symmetrically disposed, many M -estimators in a wide class models have reflection property, namely, that as the signs coefficients on reversed, their estimators' sampling distribution is reflected about origin. zero, sign reversal can no effect. So this case, regression coefficient estimators symmetric median unbiased and, when moments exist, exactly uncorrelated with other parameters. The result unusual it does not require response variates to conditional...
The current growth of biomedical knowledge is increasing the demand from user community to automate conversion free text into a ontology. Thus ontology learning frameworks are gaining momentum as potential candidates alleviate overload information. Unfortunately problem at hand with these scalability in terms computing resources, processing power and time required for experts trained terminologists who use frameworks. research study aims tackle difficulties low-level parallel distributed...
How to treat a disease remains be the most common type of clinical question. Obtaining evidence-based answers from biomedical literature is difficult. Analogical reasoning with embeddings deep learning (embedding analogies) may extract such facts, although state-of-the-art focuses on pair-based proportional (pairwise) analogies as man:woman::king:queen ("queen = -man +king +woman").